Yingda Xia

3.1k total citations
11 papers, 525 citations indexed

About

Yingda Xia is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Yingda Xia has authored 11 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Yingda Xia's work include Advanced Neural Network Applications (8 papers), Medical Image Segmentation Techniques (7 papers) and COVID-19 diagnosis using AI (4 papers). Yingda Xia is often cited by papers focused on Advanced Neural Network Applications (8 papers), Medical Image Segmentation Techniques (7 papers) and COVID-19 diagnosis using AI (4 papers). Yingda Xia collaborates with scholars based in United States, China and Hong Kong. Yingda Xia's co-authors include Alan Yuille, Zhuotun Zhu, Daguang Xu, Dong Yang, Fengze Liu, Jinzheng Cai, Lequan Yu, Holger R. Roth, Elliot K. Fishman and Wei Shen and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Medical Image Analysis and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Yingda Xia

11 papers receiving 522 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yingda Xia United States	7	317	274	234	62	60	11	525
Quande Liu Hong Kong	8	277 0.9×	439 1.6×	384 1.6×	74 1.2×	83 1.4×	10	753
Pedro Costa Portugal	12	265 0.8×	166 0.6×	360 1.5×	49 0.8×	30 0.5×	21	596
Yin Dai China	9	214 0.7×	162 0.6×	156 0.7×	62 1.0×	78 1.3×	14	455
J. Dheeba India	9	185 0.6×	315 1.1×	230 1.0×	21 0.3×	60 1.0×	25	496
Rahimeh Rouhi Italy	6	188 0.6×	278 1.0×	195 0.8×	23 0.4×	90 1.5×	15	455
Asim Munir Pakistan	10	245 0.8×	186 0.7×	134 0.6×	55 0.9×	167 2.8×	21	486
Christoph Baur Germany	5	143 0.5×	322 1.2×	197 0.8×	36 0.6×	52 0.9×	8	458
Min Dong China	7	139 0.4×	222 0.8×	160 0.7×	26 0.4×	60 1.0×	28	388
Irena Galić Croatia	12	197 0.6×	108 0.4×	139 0.6×	64 1.0×	21 0.3×	53	431

Countries citing papers authored by Yingda Xia

Since Specialization

Citations

This map shows the geographic impact of Yingda Xia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yingda Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingda Xia more than expected).

Fields of papers citing papers by Yingda Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yingda Xia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yingda Xia. The network helps show where Yingda Xia may publish in the future.

Co-authorship network of co-authors of Yingda Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Yingda Xia. A scholar is included among the top collaborators of Yingda Xia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yingda Xia. Yingda Xia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Xia, Yingda, Zhihong Chen, Suyun Li, et al.. (2024). A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7395–7406. 4 indexed citations

Cao, Weiwei, Jianpeng Zhang, Yingda Xia, et al.. (2024). Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models. 11238–11247. 2 indexed citations

Xia, Yingda, Zifan Chen, Jiawen Yao, et al.. (2023). Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. 23879–23889. 19 indexed citations

Qu, Liangqiong, Yuyin Zhou, Paul Pu Liang, et al.. (2022). Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2022. 10051–10061. 117 indexed citations

Xia, Yingda, Dong Yang, Zhiding Yu, et al.. (2020). Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Analysis. 65. 101766–101766. 163 indexed citations

Xia, Yingda, Fengze Liu, Dong Yang, et al.. (2020). 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. 3635–3644. 93 indexed citations

Yu, Qihang, Yingda Xia, Lingxi Xie, Elliot K. Fishman, & Alan Yuille. (2019). Thickened 2D Networks for 3D Medical Image Segmentation.. arXiv (Cornell University). 3 indexed citations

Liu, Fengze, Yingda Xia, Dong Yang, Alan Yuille, & Daguang Xu. (2019). An Alarm System for Segmentation Algorithm Based on Shape Model. 10651–10660. 10 indexed citations

Xia, Yingda, Lingxi Xie, Fengze Liu, et al.. (2018). Bridging the Gap Between 2D and 3D Organ Segmentation.. arXiv (Cornell University). 2 indexed citations

10.

Zhu, Zhuotun, Yingda Xia, Wei Shen, Elliot K. Fishman, & Alan Yuille. (2018). A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation. 95 indexed citations

11.

Zhu, Zhuotun, Yingda Xia, Wei Shen, Elliot K. Fishman, & Alan Yuille. (2017). A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation.. arXiv (Cornell University). 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact